I care about academic collaboration and misconduct because it is important both that we are able to evaluate your own work (independent of your peer’s) and because not claiming others’ work as your own is an important part of integrity in your future career. I understand that different institutions and locations can have different definitions of what forms of collaborative behavior is considered acceptable. In this class, for written homework problems, you are welcome to discuss ideas with others, but you are expected to write up your own solutions independently (without referring to another’s solutions). For coding, you may only share the input-output behavior of your programs. This encourages you to work separately but share ideas on how to test your implementation. Please remember that if you share your solution with another student, even if you did not copy from another, you are still violating the honor code. Consistent with this, it is also considered an honor code violation if you make your assignment solutions publicly available, such as posting them online or in a public git repo.
We may run similarity-detection software over all submitted student programs, including programs from past quarters and any solutions found online on public websites. Anyone violating the Stanford University Honor Code will be referred to the Office of Judicial Affairs. If you think you made a mistake (it can happen, especially under stress or when time is short!), please reach out to Emma or the head CA; the consequences will be much less severe than if we approach you. We expect all students to submit their own solutions to CS234 homeworks, exams and quizzes, and for projects. You are permitted to use generative AI tools such as Gemini, GPT-4 and Co-Pilot in the same way that human collaboration is considered acceptable: you are not allowed to directly ask for solutions or copy code, and you should indicate if you have used generative AI tools. Similar to human collaboration help, you are ultimately responsible and accountable for your own work. We may check students' homework, exams and projects to enforce this policy.

Note that it is not acceptable to list a LLM as a collaborator on the project milestone or final report: as things stand, generative AI cannot accept fault or responsibility, and thus cannot be a collaborator in a final project.